Shreyank Nayak — Product Manager
Engineering leader with 17+ years of diverse experience across the data engineering landscape. Over 6 years of experience managing and scaling cross-functional, full-stack data engineering teams.Strong exposure to architecting data products, platforms, and solutions covering data ingestion, transformation, serving, data lakes/warehousing, data quality, governance, and security in multi-cloud (GCP & AWS) and hybrid on-prem/cloud environments. Integrating Generative AI solutions to enhance productivity and enable self-service capabilities.Proven track record of end-to-end ownership of complex engineering initiatives, strategic planning, roadmap development, prioritization, architecture, hiring, and team management.Exposure to working with senior management to deliver critical business outcomes. Experienced in leading multi-year, transformational, cross-geography programs that have had significant $ impact.Strong capability in building, mentoring, and growing high-performing engineering teams composed of architects, managers, and engineers.Key strength & focus areas: Enterprise Data strategy, Data Management, Data Architecture, Data Governance/Security, Cloud Native & Modernization - architecture design and strategy. Conversational/Gen AI enablement. Unified ingestion platforms. Data lake, data warehouse enablement. Data BI/Analytics solution, Experimentation support, Analytical and Operational reporting use cases. Business and senior stakeholder communication. Microservices architecture, Full stack, data driven platform solutions.Engineering Leadership & Management: Executive stakeholder engagement, product mindset, people leadership, scaling engineering teams, driving roadmap, strategy, and prioritization.Domain Expertise: Deep experience in Financial Services, Payments, Banking, Digital Transformation, and E-commerce sectors.
Stackforce AI infers this person is a Data Engineering leader with expertise in Fintech and SaaS sectors.
Location: Bengaluru, Karnataka, India
Experience: 18 yrs 3 mos
Skills
- Data Engineering
- Engineering Leadership
- Data Management
- Cloud Computing
Career Highlights
- Led modernization of petabyte-scale data warehouse on GCP.
- Developed self-service AI platform reducing customer touch points.
- Managed cross-functional teams for enterprise data strategies.
Work Experience
Manager Data Engineering (2 yrs 2 mos)
PayPal
Sr. Data Engineering Manager (M2) (2 yrs 3 mos)
Nike
Data Engineering Manager (9 mos)
Deloitte U.S. India offices
Manager Data Engineering & Analytics (4 yrs 2 mos)
Technical Lead (2 yrs 11 mos)
IBM Global Business Services
Senior Data Engineer (3 yrs)
Tata Consultancy Services
Data Engineer (2 yrs 11 mos)
Education
Bachelor of Engineering (B.E.) at Visvesvaraya Technological University